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William FH bfd719f9d8 bind_functions convenience method (#12518) ... I always take 20-30 seconds to re-discover where the `convert_to_openai_function` wrapper lives in our codebase. Chat langchain [has no clue](https://smith.langchain.com/public/3989d687-18c7-4108-958e-96e88803da86/r) what to do either. There's the older `create_openai_fn_chain` , but we haven't been recommending it in LCEL. The example we show in the [cookbook](https://python.langchain.com/docs/expression_language/how_to/binding#attaching-openai-functions) is really verbose. General function calling should be as simple as possible to do, so this seems a bit more ergonomic to me (feel free to disagree). Another option would be to directly coerce directly in the class's init (or when calling invoke), if provided. I'm not 100% set against that. That approach may be too easy but not simple. This PR feels like a decent compromise between simple and easy. ``` from enum import Enum from typing import Optional from pydantic import BaseModel, Field class Category(str, Enum): """The category of the issue.""" bug = "bug" nit = "nit" improvement = "improvement" other = "other" class IssueClassification(BaseModel): """Classify an issue.""" category: Category other_description: Optional[str] = Field( description="If classified as 'other', the suggested other category" ) from langchain.chat_models import ChatOpenAI llm = ChatOpenAI().bind_functions([IssueClassification]) llm.invoke("This PR adds a convenience wrapper to the bind argument") # AIMessage(content='', additional_kwargs={'function_call': {'name': 'IssueClassification', 'arguments': '{\n "category": "improvement"\n}'}}) ```		10 months ago
..
cli	Readme rewrite (#12615)	10 months ago
experimental	bump to 36 (#12487)	10 months ago
langchain	bind_functions convenience method (#12518)	10 months ago